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Purpose

– The purpose of this paper is to examine state of the art data storage methods of real estate investment data.

Design/methodology/approach

– It analyses the process of real estate investment in order to classify and characterize the data it generates. Appropriate literature review is provided.

Findings

– The results show that a relational database is the most appropriate database management system type for real estate related data.

Practical implications

– Appropriately structured and modelled data flow can improve the design of the real estate investment process. It is also concluded that adopting an optimal design of IT-solutions could improve informational and operational efficiency of the industry.

Originality/value

– The subject of this paper lacks sufficient coverage. Popular database management systems are presented and analysed in the context of their suitability for the real estate industry.

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